Resource allocation based on hybrid genetic algorithm and particle swarm optimization for D2D multicast communications

2019 ◽  
Vol 83 ◽  
pp. 105605 ◽  
Author(s):  
Monia Hamdi ◽  
Mourad Zaied
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Particle Swarm Optimization ◽  
Hybrid Genetic Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Multicast Communications

A New Hybrid Genetic Algorithm and Particle Swarm Optimization

2012 ◽  
Vol 498 ◽  
pp. 115-125 ◽  
Author(s):  
H. Hachimi ◽  
Rachid Ellaia ◽  
A. El Hami
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Hybrid Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Particle Swarm ◽  
Optimization Techniques ◽  
Hybrid Technique ◽  
Swarm Optimization ◽  
New Generation ◽  
Crossover And Mutation

In this paper, we present a new hybrid algorithm which is a combination of a hybrid genetic algorithm and particle swarm optimization. We focus in this research on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO) for the global optimization. Denoted asGA-PSO, this hybrid technique incorporates concepts fromGAandPSOand creates individuals in a new generation not only by crossover and mutation operations as found inGAbut also by mechanisms ofPSO. The performance of the two algorithms has been evaluated using several experiments.

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